The archerfish hunting optimizer: A novel metaheuristic algorithm for global optimization

F Zitouni, S Harous, A Belkeram… - Arabian Journal for …, 2022 - Springer
Global optimization solves real-world problems numerically or analytically by minimizing
their objective functions. Most of the analytical algorithms are greedy and computationally …

The spherical search algorithm for bound-constrained global optimization problems

A Kumar, RK Misra, D Singh, S Mishra, S Das - Applied Soft Computing, 2019 - Elsevier
In this paper, a new optimization algorithm called Spherical Search (SS) is proposed to
solve the bound-constrained non-linear global optimization problems. The main operations …

The solar system algorithm: a novel metaheuristic method for global optimization

F Zitouni, S Harous, R Maamri - IEEE Access, 2020 - ieeexplore.ieee.org
A novel metaheuristic algorithm for global optimization, called the Solar System Algorithm
(SSA), is presented. The proposed algorithm imitates the orbiting behavior of some objects …

Kinematics and trajectory planning analysis based on hybrid optimization algorithms for an industrial robotic manipulators

G Singh, VK Banga - Soft Computing, 2022 - Springer
In industrial applications and automation, the robotic manipulators exhibit a significant role.
Several complex robotic systems performed a number of industrial works named spray …

Individual neon tetras (Paracheirodon innesi, Myers) optimise their position in the group depending on external selective contexts: lesson learned from a fish-robot …

D Romano, C Stefanini - biosystems engineering, 2021 - Elsevier
Highlights•Fish aggregations are self-organised systems affected by several external
factors.•Individual place preference in fish aggregations is a fundamental aspect to unveil.•A …

ESSDM: An Enhanced Sparse Swarm Decomposition Method and Its Application in Multi‐class Motor Imagery–Based EEG-BCI System

S Bhalerao, RB Pachori - Authorea Preprints, 2023 - techrxiv.org
Electroencephalography (EEG)-based motor imagery (MI) decoding has established a novel
experimental paradigm in brain-computer interface (BCI) applications that offer effective …

A novel algorithm for image segmentation (IP-MH-MLT): employing an image partitioning technique with metaheuristic parameters to enhance multilevel thresholding

S Thapliyal, N Kumar - … Journal of System Assurance Engineering and …, 2024 - Springer
The multilevel threshold technique of image segmentation is a popular and intriguing
domain in the field of image vision and has received a lot of attention in several image …

A new multilevel image thresholding algorithm based on image partitioning approach with metaheuristic parameter for segmentation

S Thapliyal, N Kumar - 2023 - researchsquare.com
The multilevel threshold technique of image segmentation is a popular and intriguing
domain in the field of image vision and has received a lot of attention in several image …

The Archerfish Hunting Optimizer: a new metaheuristic algorithm for global optimization

A Belkeram, LE Baba Hammou - dspace.univ-ouargla.dz
Global optimization solves real-world problems numerically or analytically by minimizing
their objective functions. Most of the analytical algorithms are greedy and computationally …

[PDF][PDF] The Solar System Algorithm: A Novel Metaheuristic Method for Global Optimization

R MAAMRI - academia.edu
ABSTRACT A novel metaheuristic algorithm for global optimization, called the Solar System
Algorithm (SSA), is presented. The proposed algorithm imitates the orbiting behavior of …